Matches in SemOpenAlex for { <https://semopenalex.org/work/W2967909152> ?p ?o ?g. }
- W2967909152 endingPage "834.e14" @default.
- W2967909152 startingPage "820" @default.
- W2967909152 abstract "Delineating ecologically meaningful populations among microbes is important for identifying their roles in environmental and host-associated microbiomes. Here, we introduce a metric of recent gene flow, which when applied to co-existing microbes, identifies congruent genetic and ecological units separated by strong gene flow discontinuities from their next of kin. We then develop a pipeline to identify genome regions within these units that show differential adaptation and allow mapping of populations onto environmental variables or host associations. Using this reverse ecology approach, we show that the human commensal bacterium Ruminococcus gnavus breaks up into sharply delineated populations that show different associations with health and disease. Defining populations by recent gene flow in this way will facilitate the analysis of bacterial and archaeal genomes using ecological and evolutionary theory developed for plants and animals, thus allowing for testing unifying principles across all biology." @default.
- W2967909152 created "2019-08-22" @default.
- W2967909152 creator A5003202779 @default.
- W2967909152 creator A5029276946 @default.
- W2967909152 creator A5045124424 @default.
- W2967909152 creator A5048504119 @default.
- W2967909152 creator A5063152072 @default.
- W2967909152 date "2019-08-01" @default.
- W2967909152 modified "2023-10-14" @default.
- W2967909152 title "A Reverse Ecology Approach Based on a Biological Definition of Microbial Populations" @default.
- W2967909152 cites W1661708608 @default.
- W2967909152 cites W1711571047 @default.
- W2967909152 cites W1822648038 @default.
- W2967909152 cites W1849979647 @default.
- W2967909152 cites W1900499658 @default.
- W2967909152 cites W1911391407 @default.
- W2967909152 cites W1966526845 @default.
- W2967909152 cites W1972740086 @default.
- W2967909152 cites W1974064502 @default.
- W2967909152 cites W1982905064 @default.
- W2967909152 cites W1986748260 @default.
- W2967909152 cites W1995548425 @default.
- W2967909152 cites W2002659896 @default.
- W2967909152 cites W2004601902 @default.
- W2967909152 cites W2008144158 @default.
- W2967909152 cites W2014311890 @default.
- W2967909152 cites W2019944969 @default.
- W2967909152 cites W2025021478 @default.
- W2967909152 cites W2029516628 @default.
- W2967909152 cites W2030709910 @default.
- W2967909152 cites W2033947830 @default.
- W2967909152 cites W2037015298 @default.
- W2967909152 cites W2038662463 @default.
- W2967909152 cites W2041579725 @default.
- W2967909152 cites W2045765967 @default.
- W2967909152 cites W2051838613 @default.
- W2967909152 cites W2056027400 @default.
- W2967909152 cites W2056892325 @default.
- W2967909152 cites W2057710367 @default.
- W2967909152 cites W2064971934 @default.
- W2967909152 cites W2077696096 @default.
- W2967909152 cites W2078785469 @default.
- W2967909152 cites W2079327011 @default.
- W2967909152 cites W2097376441 @default.
- W2967909152 cites W2098558111 @default.
- W2967909152 cites W2111211467 @default.
- W2967909152 cites W2115369065 @default.
- W2967909152 cites W2115453787 @default.
- W2967909152 cites W2119552198 @default.
- W2967909152 cites W2121560025 @default.
- W2967909152 cites W2123235367 @default.
- W2967909152 cites W2124209874 @default.
- W2967909152 cites W2126833174 @default.
- W2967909152 cites W2127303481 @default.
- W2967909152 cites W2130621427 @default.
- W2967909152 cites W2132926880 @default.
- W2967909152 cites W2141052558 @default.
- W2967909152 cites W2143485490 @default.
- W2967909152 cites W2160378127 @default.
- W2967909152 cites W2164786886 @default.
- W2967909152 cites W2172086791 @default.
- W2967909152 cites W2209030084 @default.
- W2967909152 cites W2234032519 @default.
- W2967909152 cites W2330520379 @default.
- W2967909152 cites W2346485333 @default.
- W2967909152 cites W2521957974 @default.
- W2967909152 cites W2529635913 @default.
- W2967909152 cites W2553167312 @default.
- W2967909152 cites W2557496587 @default.
- W2967909152 cites W2567097794 @default.
- W2967909152 cites W2586159524 @default.
- W2967909152 cites W2760987883 @default.
- W2967909152 cites W2769664962 @default.
- W2967909152 cites W2784671000 @default.
- W2967909152 cites W2792874482 @default.
- W2967909152 cites W2801486628 @default.
- W2967909152 cites W2889322134 @default.
- W2967909152 cites W2894927890 @default.
- W2967909152 cites W2896541539 @default.
- W2967909152 cites W2897027768 @default.
- W2967909152 cites W2950954328 @default.
- W2967909152 cites W2951126701 @default.
- W2967909152 cites W2951254987 @default.
- W2967909152 cites W2952736967 @default.
- W2967909152 cites W4253534330 @default.
- W2967909152 doi "https://doi.org/10.1016/j.cell.2019.06.033" @default.
- W2967909152 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/31398339" @default.
- W2967909152 hasPublicationYear "2019" @default.
- W2967909152 type Work @default.
- W2967909152 sameAs 2967909152 @default.
- W2967909152 citedByCount "95" @default.
- W2967909152 countsByYear W29679091522019 @default.
- W2967909152 countsByYear W29679091522020 @default.
- W2967909152 countsByYear W29679091522021 @default.
- W2967909152 countsByYear W29679091522022 @default.
- W2967909152 countsByYear W29679091522023 @default.
- W2967909152 crossrefType "journal-article" @default.
- W2967909152 hasAuthorship W2967909152A5003202779 @default.